%0 Journal Article
%T Dimensionality Reduction Symmetrical PSO Algorithm Characterized by Heuristic Detection and Self-learning<br>具有启发式探测及自学习特征的降维对称微粒群算法
%A SHAO Zeng-zhen
%A WANG Hong-guo
%A LIU Hong
%A <br>邵增珍
%A 王洪国
%A 刘弘
%J 计算机科学
%D 2010
%I 
%X A novel Symmetrical PSO algorithm(SymPSO-HD) was proposed to improve the search ability of PSO algorithm.To initialize the cluster effectively,population scatter entropy strategy was introduced.In order to improve the particle's position vector,a special kind of particle characterized by detection was proposed too.And to enhance the particle's learning ability both in local and global domain,we put forward the clone-mutation-selection strategy in neighborhood and the dimensionality reduction symmetrical str...
%K Dimensionality reduction symmetrical PSO
%K Population scatter entropy
%K Heuristic detection
%K Clone and mutation<br>降维对称微粒群算法
%K 种群分布熵
%K 启发式探测
%K 克隆变异
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=5BE6C94C1B611D3325FCCD79F5898ACF&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=94C357A881DFC066&sid=D5C73DEF4CF8FAF3&eid=8B59EA573021D671&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=13